Autoscaling Kubernetes Workloads Based On Metrics

Описание: Title: Autoscaling Kubernetes Workloads Based On Metrics

Abstract:Tired of scaling your Kubernetes workloads manually? Tired of overprovisioning resources that lead to unnecessary costs? Tired of underprovisioning resources that lead to degraded application performance? Join Rakshit in his talk in which he will briefly explain how we can use metrics to autoscale our Kubernetes workloads with the help of HorizontalPodAutoscaler. Join him on a ride to learn about the history, the different types of scaling techniques, and finally go through a live demo of scraping metrics from Prometheus using the Keptn Lifecycle Toolkit and scaling the workloads using HorizontalPodAutoscalar. Being an active contributor for Keptn, He will briefly explain how the Keptn Metrics Operator enables us to have a single entry point for the metrics data, regardless of the source of metrics and helps us in autoscaling our workloads. Get to learn about the challenges faced while scaling workloads manually. Get to learn about the benefits of using metrics to autoscale Kubernetes workloads without having to fear unessential costs and poor application performance. Get hands-on experience using the Keptn Lifecycle Toolkit to scrape metrics from any metric provider and then use it to autoscale your Kubernetes workloads.

Speaker: Rakshit Gondwal